Data & AI Practice Director

Define and drive design vision for AI and automation capabilities

Lead collaboration with AI/ML engineers, product managers, and data scientists

Build, run, and scale security SaaS infrastructure.

Automate provisioning, deployment, and incident responses.

Own and define AIOps consulting portfolio and offerings

Lead go-to-market strategies and revenue enablement

Define and drive design vision for AI and automation capabilities

Establish design principles for AI transparency and user control

Define and drive design vision for AI and automation capabilities

Lead cross-functional collaboration with technical teams

Own end-to-end features across various technologies.

Collaborate with cross-functional teams.

Identify and close AI/BI opportunities

Engage with C-level, analytics, and line-of-business leaders

Lead and scale a large engineering organization

Improve execution, velocity, and product quality

Lead technical discovery for Platform Eng, DevOps, Security, and AI/ML.

Design PoCs focused on AI governance and supply chain value.

Lead and scale AI/ML Professional Services team

Develop executive relationships and define joint strategies

Define and evolve CX assurance product strategy

Develop outcome-driven product roadmap

Improve customer experience through AI/ML initiatives

Build frameworks for turning feedback into actionable insights

Define and launch AI/ML-powered experiences for user discovery and shopping.

Partner with cross-functional teams to craft seamless UX/ML/AI experiences.

Design and implement an AI evaluation framework with defined metrics

Build reusable agent infrastructure for multi-turn workflows

Building and managing product partner ecosystems

Identifying and expanding PMF opportunities through partnerships

Design and deliver onboarding programs for GTM new hires

Improve post-launch onboarding processes

Leading a team at the product engineering and delivery intersection

Developing tooling and automation for repeatable deployments

Develop and execute roadmap for data improvements on trip quality

Lead Trip Quality Merchandising and AI strategy

Define AI/ML roadmap with cross-functional leaders

Lead AI/ML org and end-to-end product delivery

Own a central product area and drive outcomes

Build and grow PMs; foster ownership and high standards

Lead and grow a team for Containers and Kubernetes

Drive next-gen Containers with AI/ML

Lead pre-sales technical strategy for strategic accounts

Advise on customer value and alignment with Docker

Maintain and build features for MongoDB Node.js Driver and addons

Contribute to JavaScript client libs and MongoDB AI/ML integrations

Lead and own the Intelligence Catalog and taxonomy

Drive improvements in noise reduction and precision/recall metrics

Lead end-to-end sourcing for technical roles

Conduct market research and talent mapping

Lead Esri's commercial industry solutions team and drive market expansion

Develop sector-specific GTM strategies with cross-functional teams

Deploy foundational use cases such as retention analysis, funnels, and journeys.

Drive AI adoption by embedding Amplitude AI into customer workflows.

Build relationships with AI/ML stakeholders

Conduct discovery with prospects

End-to-end delivery and coordination of STT/TTS model versions

Define lightweight processes for enhanced visibility and accountability

Lead and advance Tax Attribute program

Optimize tax determination and reporting solutions

Own and scale the Tax Attribute program effectively

Integrate and optimize tax determination and reporting

Own and manage platform architecture components

Drive partner success through feature releases

Drive revenue growth and market expansion

Develop and execute strategic plans

Lead AI-powered healthcare product development and delivery

Bridge various stakeholders (clinicians, engineers, business)

Lead and scale infrastructure and core platform domain

Enable AI-first delivery with LLM workloads and data pipelines

Drive multi-project outcomes

Bridge tech-ops gap

Lead AI tech vision and roadmap

Partner with research for model capabilities

Lead strategic territory plan targeting NYC banking institutions

Become a product and industry expert

Own roadmap and execution for clinical features

Identify AI opportunities in clinical products

Define AI/ML agents for reliability

Prototype agent behaviours

Design and implement audit procedures utilizing Python/SQL for automation

Lead SOX testing of tech components and drive control rationalization

Lead product marketing for AI and analytics products

Shape AI experiences positioning for customer value

Architect and code backend services and ML pipelines

Design ML models for real-time sales recommendations

Lead messaging, content, and GTM for Energy sector

Collaborate with sales, marketing, and customers to drive demand

Rethinking developer workflows for better efficiency

Creating a deeply integrated developer tool for Ubuntu

Design user experience for new tool capabilities

Write high-quality code to create new features

Provide strategic guidance and oversight for data and ML initiatives.

Advise on identity resolution and attribution modeling techniques.

Coordinate high-paced creative projects

Manage global remote production teams

Lead backend development for AI-powered 3D product experiences

Optimize LLM orchestration pipelines for low-latency, high-throughput response

Lead full-stack and agentic AI system design

Develop scalable and secure cloud-native services